## The Rise of Sciborgs: Transforming How Science Gets Done

Introducing our new series: Sciborg **™** Sessions. See how Sciborgs are fundamentally changing how science gets done.

###### **Tune in live on LinkedIn:**

February 27th | 11am ET

[Register](https://www.linkedin.com/events/theriseofsciborgs-transformingh7293665082058653698/theater/)

[Tetra workflow
for batch release and stability testing](/content/scientific-outcomes/qc-biologics#w-tabs-1-data-w-pane-0/index.html) [Traditional workflow
for batch release and stability testing](/content/scientific-outcomes/qc-biologics#w-tabs-1-data-w-pane-1/index.html)

### Increased productivity

Remove bottlenecks in your workflows by automatically collecting and centralizing data and results

### Compliance confidence

Ensure data integrity and accuracy while eliminating the need for second-scientist review with automated data transfer

### Improved quality

Leverage trending and AI/ML to avoid deviations (OOT/OOS/OOE events) and reduce investigation efforts

### Inefficient processes

Manual data transcription, with thousands of entries per study or release, is error-prone and causes bottlenecks

### High compliance burden

Manual, sometimes paper-based processes increase the effort for compliance, such as second-person review

### Inaccessible data

Data cannot be used for AI/ML or trending across instruments and techniques, preventing data-driven quality practices

## Explore resources

Learn how to transform your scientific data into AI-based outcomes.

Blog

Explore key topics across life sciences, data and AI

[Read](/content/blog/index.html)

Case study

Learn how SOLVO and TetraScience cut scientists' work in half with AI

[Explore](/content/case-studies/accelerating-adme-tox-testing-with-data-science-and-ai/index.html)

Video

Learn about the paradigm shift in scientific data management and analysis

[Watch](/content/videos/paradigm-shift-scientific-data-management-analysis/index.html)

## Unlock the full value of your QC data

### Replatform

Automatically collect and centralize data from all instruments and systems used in QC

### Engineer

Automatically contextualize and harmonize data for visualization and comparison

### Analytics

Create dashboards to identify trends and OOT/OOS/OOE events before they occur

### AI

Use AI/ML to forecast deviations and troubleshoot anomalies

[Get a demo](/content/demo/index.html)

### Quality control workflows for chromatography data analysis

Learn how TetraScience helped a top 15 global biopharma improve chromatography data analysis with automated quality control workflows for:

System suitability tests

Column degradation checks

Shelf life for active pharmaceutical ingredients

[Download](https://go.tetrascience.com/case-studies_quality-control-workflows-for-chromatography-data-analysis.html)